Optuna is an open-source hyperparameter optimization framework for automating hyperparameter search. Optimizations are for an objective function in different trials. It supports popular machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Benefits and features
- Lightweight, versatile, and platform-agnostic architecture
- Definition of search spaces using Python code
- Easy to parallelize
- Plotting functions to visualize optimization history
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